Predicting take-off from sensory and motor attributes (see also Supp. Fig. S3). A) Receiver Operating Characteristics (ROC) curve for naïve Bayes classifiers trained to distinguish between Jump (J) and No Jump (NJ) trials based on the number of DCMD spikes (red), the SD of the DCMD ISI (cyan), the mean DCMD ISI (black), and the DCMD peak firing rate (blue). Abbreviations: tp= true positives, fp= false positives. B) ROC curve for classifiers trained with the timing of co-contraction onset (CCO, yellow) and the number (#) of extensor spikes (gray). C) Misclassification rate of different classifiers trained and tested with 100 random data shuffles (box plots; chance level: 0.5). Attributes are as follows (including medians in J and NJ trials and difference significance level). 1: Number of DCMD spikes from CCO (J: 67, NJ: 38, pKWT: 9.4×10−8); 2: Time of CCO relative to projected collision (J: 307 ms, NJ: 152, pKWT: 4.4×10−7); 3: Number of extensor spikes (J: 20, NJ: 10, pKWT: 3.2×10−5); 4: SD of DCMD ISI after CCO (J: 2 ms, NJ: 3, pKWT: 0.0141); 5: Mean DCMD ISI after CCO (J: 3 ms, NJ: 4, pKWT: 4.0×10−3); 6: DCMD peak firing rate (J: 427 spk/s, NJ: 362, pKWT: 1.9×10−3); 9: Mean DCMD firing rate before CCO (J: 34 spk/s, NJ: 32, pKWT: 0.74); 10: number of DCMD spikes before CCO (J: 112, NJ: 105, pKWT: 0.15); 11: Time of 1st DCMD spike from stimulus onset (J: 3923 ms, NJ: 3564, pKWT: 0.06).